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killabot v1 (wip)
# Requirements: pip install tweepy fuzzywuzzy python-Levenshtein
import tweepy
import re
from fuzzywuzzy import fuzz
# Credentials go here (generate at: https://apps.twitter.com)
auth = tweepy.OAuthHandler('consumer_key', 'consumer_secret')
auth.set_access_token('access_token', 'access_token_secret')
# Connect to Twitter
api = tweepy.API(auth)
# Grab last 200 mentions
mentions = api.mentions_timeline(count=200)
# Loop through the mentions
for tweet in mentions:
# Calculate simple Levenshtein distance ratio (non-alpha characters stripped with regex)
ratio = fuzz.ratio("Your Profile Name Here", re.sub(r'([^\s\w]|_)+', '', tweet.user.name))
# If the ratio is > 80 and followers below 100, report the user
if ratio > 80 and tweet.user.followers_count < 100:
# Submit the report
report = api.report_spam(user_id=tweet.user.id, screen_name=tweet.user.screen_name)
# Feedback with report
print("Reported: " + tweet.text + " - " + tweet.user.screen_name)
@ummjackson
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^ should probably call out, you'll want to be running Python 3.*

@ummjackson
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For "Your Profile Name Here", make sure it's your profile name and not your screen name. For instance, mine is "Jackson Palmer"

@ummjackson
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ummjackson commented May 31, 2022

What a blast from the past. Instructions I used to provide people via Twitter/email when I shared this gist with them:

  1. Install dependencies by running command in first line
  2. Schedule a cron (or preferred scheduler) job to execute the Python script every 60 seconds

@Killaship
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I just found this off Reddit, and I think it's funny, the name of this. Based off my internet handle, I named a Discord bot I run "Killabot," and it's also written in Python. What a co-incidence, lol

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